AI Solutions & Automation Engineer

As an AI Solutions & Automation Engineer at Ateme, you design, build, and deploy internal tools that reduce repetitive tasks and boost cross-functional efficiency. You’ll work at the intersection of full-stack development, generative AI, automation, and business understanding to address real business needs. You’ll prototype quickly, deliver end-to-end internal solutions, and ensure secure, accountable AI practices. You’ll collaborate with Sales, Pre-Sales, Support, Product, and Operations to scale reusable components across teams. This role offers the chance to shape internal workflows at a video delivery leader and contribute to impactful, measurable improvements.

• Hybrid working model
• Performance bonus
• Employee referral bonus
• Internal training platform
• Exposure to Kubernetes and AWS
• International collaboration

• Work with business teams to identify high-impact, repetitive tasks and define expected benefits
• Prototype proofs of concept and MVPs, iterating with user feedback
• Develop end-to-end internal tools including UI, backend, workflows, and integrations
• Integrate with enterprise systems (Microsoft 365, Salesforce, Jira, Confluence, SharePoint) with proper access control
• Industrialize solutions with testing, CI/CD, observability, and documentation
• Apply security and responsible AI practices including data protection and risk management
• Define and track adoption, quality, and efficiency metrics with stakeholders
• Create reusable components and contribute to a shared architecture for cross-team reuse

• Master’s degree or equivalent with at least 5 years of relevant experience
• Full-stack development with Python and/or TypeScript, REST APIs, databases, UI design
• Generative AI expertise: LLMs, prompt engineering, RAG, semantic search, tool calling, orchestration
• System integration: OAuth 2.0 / OIDC, SSO, enterprise APIs and connectors, identity management
• Cloud and DevOps: Docker, Git, CI/CD, automated testing, logging, monitoring, deployment
• Product thinking and user adoption focus
• Security and governance practices for data, secrets, auditability, and documentation

• Curiosity
• Pragmatism
• Autonomy
• Python
• TypeScript
• REST APIs